Mask Settings.
To tackle the real-world object removal task, we follow the mask setting from [1]}, which includes irregular masking brushes and segmentation masks with masking rates from 10% to 50%. Different from [1]}, we blackadditionally use some LaMa irregular masks [3]} (both thin and thick types) for a better diversity, and randomly combine irregular and segmentation masks with 20% to improve the learning difficulty.
